SOTAVerified

Natural Language Understanding

Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.

Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 1978 papers

TitleStatusHype
KRAG Framework for Enhancing LLMs in the Legal Domain—0
TextLap: Customizing Language Models for Text-to-Layout PlanningCode1
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots—0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding—0
SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching—0
Leveraging Grammar Induction for Language Understanding and GenerationCode0
Large Language Model Inference Acceleration: A Comprehensive Hardware PerspectiveCode1
Collapsed Language Models Promote FairnessCode0
LoRTA: Low Rank Tensor Adaptation of Large Language Models—0
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning—0
Selective Aggregation for Low-Rank Adaptation in Federated LearningCode2
Addition is All You Need for Energy-efficient Language Models—0
Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture—0
Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications—0
Towards Enhancing Linked Data Retrieval in Conversational UIs using Large Language ModelsCode0
Balancing LoRA Performance and Efficiency with Simple Shard SharingCode2
Improving the Efficiency of Visually Augmented Language ModelsCode0
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search—0
Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule Compliance—0
Logically Consistent Language Models via Neuro-Symbolic Integration—0
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values—0
Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail?—0
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features—0
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering—0
R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education—0
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection—0
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs—0
A Survey for Large Language Models in Biomedicine—0
Making the Most of your Model: Methods for Finetuning and Applying Pretrained Transformers—0
EMP: Enhance Memory in Data Pruning—0
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark—0
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language ModelsCode0
Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study—0
Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates—0
GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding—0
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLUCode0
Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question AnsweringCode0
Nl2Hltl2Plan: Scaling Up Natural Language Understanding for Multi-Robots Through Hierarchical Temporal Logic Task Representation—0
Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction—0
GlyphPattern: An Abstract Pattern Recognition for Vision-Language ModelsCode0
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization—0
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language ModelsCode0
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuningCode2
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation—0
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal NuancesCode1
ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task—0
Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review—0
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?Code2
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications—0
TookaBERT: A Step Forward for Persian NLU—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2UDSSM-II (ensemble)Accuracy78.3—Unverified
3BERT-large 340MAccuracy78.3—Unverified
4UDSSM-I (ensemble)Accuracy76.7—Unverified
5DSSMAccuracy75—Unverified
6UDSSM-IIAccuracy75—Unverified
7BERT-base 110M + MASAccuracy68.3—Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7—Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60—Unverified
10Subword-level Transformer LMAccuracy58.3—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5—Unverified
2BERT (none)Tags (Full) Acc82—Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81—Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3—Unverified
5RoBERTa + LinearFull F1 (Preps)78.2—Unverified
6GloVe (none)Tags (Full) Acc77.5—Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1—Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2—Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2—Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6—Unverified
2Legal-BERTCaseHOLD75.1—Unverified
3DeBERTaCaseHOLD72.1—Unverified
4LongformerCaseHOLD72—Unverified
5RoBERTaCaseHOLD71.7—Unverified
6BERTCaseHOLD70.7—Unverified
7BigBirdCaseHOLD70.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6—Unverified
2ConvBERT-DG + Pre + MultiAverage73.8—Unverified
3mslmAverage73.49—Unverified
4ConvBERT + Pre + MultiAverage68.22—Unverified
5BanLanGenAverage39.16—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89—Unverified
2mslmAverage85.83—Unverified
3ConvBERT-DG + Pre + MultiAverage85.34—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9—Unverified
2BERT-LARGEAverage82.1—Unverified